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README.md ADDED
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+ ---
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+ base_model:
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+ - AI-MO/NuminaMath-7B-TIR
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+ - deepseek-ai/DeepSeek-Prover-V1.5-RL
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - AI-MO/NuminaMath-7B-TIR
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+ - deepseek-ai/DeepSeek-Prover-V1.5-RL
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+ ---
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+
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+ # Mathmate-7B-DELLA
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+
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+ Mathmate-7B-DELLA is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [AI-MO/NuminaMath-7B-TIR](https://huggingface.co/AI-MO/NuminaMath-7B-TIR)
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+ * [deepseek-ai/DeepSeek-Prover-V1.5-RL](https://huggingface.co/deepseek-ai/DeepSeek-Prover-V1.5-RL)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: AI-MO/NuminaMath-7B-TIR
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ - model: deepseek-ai/DeepSeek-Prover-V1.5-RL
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ merge_method: della
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ normalize: true
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+ dtype: bfloat16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "Haleshot/Mathmate-7B-DELLA"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "deepseek-ai/deepseek-math-7b-base",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 100000,
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+ "eos_token_id": 100001,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 30,
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+ "num_key_value_heads": 32,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.2",
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+ "use_cache": true,
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+ "vocab_size": 102400
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model: AI-MO/NuminaMath-7B-TIR
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ - model: deepseek-ai/DeepSeek-Prover-V1.5-RL
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ merge_method: della
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ normalize: true
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+ dtype: bfloat16
mergekit_moe_config.yml ADDED
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+
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+ base_model: AI-MO/NuminaMath-7B-TIR
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+ gate_mode: hidden
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+ dtype: bfloat16
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+ experts:
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+ - source_model: AI-MO/NuminaMath-7B-TIR
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+ positive_prompts:
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+ - "This model is good at solving math questions at high school level and generating python code for the same"
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+ # - source_model: Qwen/Qwen2-Math-7B-Instruct
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+ # positive_prompts:
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+ # - "This model is really good at solving college level math to olympiad level questions"
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+ - source_model: deepseek-ai/DeepSeek-Prover-V1.5-RL
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+ positive_prompts:
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+ - "This model is good at formal theorem providing math problems"
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